Tag Archives: Eric Siggia

One important aspect of the internal time-keeping system continues to perplex scientists: its complex response to temperature, which can shift the clock forward or backward, but cannot change its 24-hour period. New experiments help explain how this is possible. More »

Early in development, chemical signals tell cells whether to turn into muscle, bone, brain or other tissue. By tracking cells’ responses to signals, researchers found the speed at which the signal arrives has an unexpected influence on that decision. More »

Eric D. Siggia, whose laboratory is interested in applying informatics approaches to study gene expression and other biological problems, has been elected to the National Academy of Sciences, one of the highest honors given to a scientist or engineer in the United States. More »

In evolution, even the slightest beginnings can lead to tools as complex as the human eye. But how? By modeling the steps evolution takes to build, from scratch, an adaptive biochemical network, Rockefeller University scientists have provided a computational answer to one of Darwin’s biggest questions. More »

A group of biophysicists at Rockefeller University has developed a new tool that can control and measure, more precisely than before, the activity of genes and proteins within single budding yeast cells as they divide and multiply. The device may yield new insight into the functioning of regulatory networks. More »

Like people, cells must reach a certain size before they can reproduce. A collaboration between Rockefeller University biologists, physicists and mathematicians shows how and when cells reach this size requirement, findings that provide researchers with a new quantitative framework to get to the core mechanisms involved in how a cell monitors its size. More »

For scientists studying the link between genes and disease, there’s no shortage of information. The challenge is making sense of the data. A new algorithm designed by Eric Siggia’s Rockefeller laboratory may be an important new tool for scientists seeking to extract answers from sequenced genomes. More »